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Week 21 - This Week in Enterprise Tech

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Manage episode 468439590 series 3649013
Content provided by Charles Araujo and Hyoun Park, Charles Araujo, and Hyoun Park. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Charles Araujo and Hyoun Park, Charles Araujo, and Hyoun Park or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

In a holiday-shortened week, Charles Araujo of the DX Report and Hyoun Park of Amalgam Insights take on the following topics:

1. Anthropic Funds the Development of New AI Benchmarks

2. CIOs Are Recklessly Underestimating AI Governance Needs

3. AI Power Costs Become Materially Important for Upcoming CIO Budget Forecasts

[01:20] Anthropic to Fund New AI Benchmarks
Anthropic recently announced its intentions to both develop and fund new benchmarks that more accurately describe the behavior and performance of Large Language Models (LLMs). Charles and Hyoun discuss why this is a good move from Anthropic in terms of the needs for better benchmarks, an enhanced understanding of generative AI, as well as Anthropic's own self-interest in standing out from OpenAI and other large AI competitors.
TechCrunch: https://techcrunch.com/2024/07/01/anthropic-looks-to-fund-a-new-more-comprehensive-generation-of-ai-benchmarks/
[08:15] CIOs Recklessly Underestimating AI Governance Needs
A recent article from CIO.com kicked off a discussion between Hyoun Park and Charles Araujo on the massive chasm between the current discussions in AI governance and the reality of the breadth of AI governance challenges that CIOs seem poorly prepared for. It is not enough to just lean on legacy data governance policies and a decade of cloud computing experience. CIOs need to look across the challenges of data, model development, model training, talent management, infrastructure management, power management, and environmental concerns.
CIO.com: https://www.cio.com/article/2510265/4-essential-lessons-in-ai-governance.html
[17:27] AI Power Costs Enter CIO Budget Forecasts

A firm called Phaidra got Hyoun and Charles' attention in tackling the challenges of data center power management. After a decade of CIOs thinking that they had built their last data center, the cost of unmanaged cloud and the challenges of AI are starting to force CIOs to reconsider their on-premises IT strategies. In a world where data center infrastructure management is making a comeback and practically every large enterprise is now a hybrid multi-cloud ecosystem, CIOs will be forced to take a broader role in translating electricity, power, and utilities into digital outcomes.
TechCrunch: https://techcrunch.com/2024/07/02/phaidras-ai-helps-manage-data-center-energy-consumption/
Venture Beat: https://venturebeat.com/ai/will-the-cost-of-scaling-infrastructure-limit-ais-potential/

This Week In Enterprise Tech is hosted by:
Charles Araujo of The DX Report and
Hyoun Park of Amalgam Insights

  continue reading

65 episodes

Artwork
iconShare
 
Manage episode 468439590 series 3649013
Content provided by Charles Araujo and Hyoun Park, Charles Araujo, and Hyoun Park. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Charles Araujo and Hyoun Park, Charles Araujo, and Hyoun Park or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

In a holiday-shortened week, Charles Araujo of the DX Report and Hyoun Park of Amalgam Insights take on the following topics:

1. Anthropic Funds the Development of New AI Benchmarks

2. CIOs Are Recklessly Underestimating AI Governance Needs

3. AI Power Costs Become Materially Important for Upcoming CIO Budget Forecasts

[01:20] Anthropic to Fund New AI Benchmarks
Anthropic recently announced its intentions to both develop and fund new benchmarks that more accurately describe the behavior and performance of Large Language Models (LLMs). Charles and Hyoun discuss why this is a good move from Anthropic in terms of the needs for better benchmarks, an enhanced understanding of generative AI, as well as Anthropic's own self-interest in standing out from OpenAI and other large AI competitors.
TechCrunch: https://techcrunch.com/2024/07/01/anthropic-looks-to-fund-a-new-more-comprehensive-generation-of-ai-benchmarks/
[08:15] CIOs Recklessly Underestimating AI Governance Needs
A recent article from CIO.com kicked off a discussion between Hyoun Park and Charles Araujo on the massive chasm between the current discussions in AI governance and the reality of the breadth of AI governance challenges that CIOs seem poorly prepared for. It is not enough to just lean on legacy data governance policies and a decade of cloud computing experience. CIOs need to look across the challenges of data, model development, model training, talent management, infrastructure management, power management, and environmental concerns.
CIO.com: https://www.cio.com/article/2510265/4-essential-lessons-in-ai-governance.html
[17:27] AI Power Costs Enter CIO Budget Forecasts

A firm called Phaidra got Hyoun and Charles' attention in tackling the challenges of data center power management. After a decade of CIOs thinking that they had built their last data center, the cost of unmanaged cloud and the challenges of AI are starting to force CIOs to reconsider their on-premises IT strategies. In a world where data center infrastructure management is making a comeback and practically every large enterprise is now a hybrid multi-cloud ecosystem, CIOs will be forced to take a broader role in translating electricity, power, and utilities into digital outcomes.
TechCrunch: https://techcrunch.com/2024/07/02/phaidras-ai-helps-manage-data-center-energy-consumption/
Venture Beat: https://venturebeat.com/ai/will-the-cost-of-scaling-infrastructure-limit-ais-potential/

This Week In Enterprise Tech is hosted by:
Charles Araujo of The DX Report and
Hyoun Park of Amalgam Insights

  continue reading

65 episodes

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